
Aime F. answered 04/29/21
Experienced University Professor of Mathematics & Data Science
U(0,1) means that dF/dx = 1 (0 ≤ x ≤ 1), 0 (else) and F(x) = 0 (x < 0), x (0 ≤ x ≤ 1), 1 (1 < x).
The general formula for p(y = g(x)) is ∫01δ(y – g(x))dF(x) (as can be seen by y-integration) so,
p(y) = ∫01δ(y + ln(1 – F(x)))dF(x)
= ∫01δ(y + ln(1 – F))dF
= ∫01δ(y + ln v)dv
= ∫0∞δ(y – w)exp(–w)dw
= exp(–y) (0 ≤ y), 0 (y < 0)
that is the exponential distribution with parameter λ = 1.
mgf(t) = ∫0∞exp(ty)exp(–y)dy
= 1/(1 – t) for t < 1.